返回
Optimal switching with minimum dwell time constraint
DOI:10.1016/j.jfranklin.2017.04.015.png)
摘要
En 中文
The problem of optimal switching between different subsystems/configurations with minimum dwell time constraints is investigated in this study and a feedback solution, using the framework of approximate dynamic programming, is proposed. The method calls for a tuning stage in which parameters of a function approximator are tuned. Online control will then be conducted with a computational load as low as evaluating a few scalar-valued functions. Finite-horizon and infinite-horizon cost functions are investigated and convergence and stability are analyzed considering the presence of approximation errors. Moreover, the case of applying a full or partial constraint on the mode sequence, as well as having a mode-dependent minimum dwell time are investigated. Finally, performance of the scheme in handling different challenges is numerically evaluated through different examples. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keyword:
NONLINEAR-SYSTEMS
CONTROL SCHEME
TRACKING
DESIGN
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
J
IF:
3.7
论文数:
6.4K
被引数:
1.5W
机构
引用论文
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming基于自适应动态规划的未知离散非线性Markov跳变系统最优控制
Cross-linkable Polymer Matrix for Enhanced Thermal Stability of Succinonitrile-based Polymer Electrolyte in Lithium Rechargeable Batteries可交联聚合物基质,用于增强锂可充电电池中基于丁二腈的聚合物电解质的热稳定性

